What to Measure for Success in Lean System Engineering Programs?
Author(s) -
Janaina Mascarenhas,
Mónica Rossi,
Eric Rebentisch,
Sergio Terzi,
Marco Taisch,
Deborah Nightingale
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.03.094
Subject(s) - computer science , measure (data warehouse) , lean manufacturing , software engineering , engineering management , manufacturing engineering , data mining , engineering
The system engineering literature acknowledges that lean principles foster the achievement of higher program performance. However in the literature it is not clear how exactly the six lean principles affect the performance of the systems engineering programs. This paper addresses this gap by discussing about the core benefits derived from the implementation of each lean principle. Main contribution of this paper is the proposal –through a deep literature investigation refined through a series of focus groups with the Lean in Program Management Community of Practice (MIT-PMI-INCOSE) – of a list of metrics to be considered in order to measure the performance affected by the introduction of a list of 43 Lean Enablers. Only when measuring the current situation of the systems engineering program in fact, it is possible to direct improvement efforts. Further steps of authors’ research are direct to understand how the collected metrics could practically and effectively support the lean journey within system engineering programs
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